How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Every union of connected components is a module, and so is every union of anticonnected components
Statement
Let be a finite simple graph. If is a union of vertex sets of connected components of , then is a module of , and every vertex outside is anticomplete to . If is a union of anticomponents of , then is a module of , and every vertex outside is complete to .
Facts & Assumptions
Given: A finite simple graph .
is a module of when the pair is pure for every (Modules of a graph, and the trivial modules).
The vertex sets of the connected components of are nonempty, cover , and any two are equal or disjoint (The connected components of a graph partition its vertex set and are its maximal connected subgraphs, Connected graphs and connected components defined by the existence of vertex paths).
Distinct connected components of a graph are anticomplete to one another, and distinct anticomponents are complete to one another (Distinct connected components are anticomplete, and distinct anticonnected components are complete).
The anticomponents of are exactly the connected components of ; consequently their vertex sets are nonempty, cover , and any two are equal or disjoint (The anticonnected components of are exactly the connected components of , The connected components of a graph partition its vertex set and are its maximal connected subgraphs).
The pair of disjoint sets is complete when every vertex of is adjacent to every vertex of , anticomplete when no vertex of is adjacent to any vertex of , and pure when it is complete or anticomplete (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).
Proof
Let be a union of component vertex sets and let . The component meets no component contained in , since and distinct components are disjoint, so is distinct from every component inside .
Let be a union of anticomponents and let . The anticomponent containing is disjoint from every anticomponent inside and hence distinct from each of them.
In the component case of step 1.1, has no neighbour in any component inside , so has no neighbour in and is anticomplete, hence pure.
In the anticomponent case of step 1.2, is adjacent to every vertex of every anticomponent inside , so is adjacent to every vertex of and is complete, hence pure.
Steps 2.1 and 2.2 verify the condition of [F1] at every vertex outside in the two cases, so both kinds of union are modules, with the stated purity.
Depends on
- Modules of a graph, and the trivial modules
- The connected components of a graph partition its vertex set and are its maximal connected subgraphs
- The anticonnected components of $G$ are exactly the connected components of $\overline G$
- Distinct connected components are anticomplete, and distinct anticonnected components are complete
- Connected graphs and connected components defined by the existence of vertex paths
- Anticonnected graphs and anticonnected components
- Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs
Used by
- Up to isomorphism the four-vertex path is the only prime graph on four vertices Example
- Gallai's modular decomposition theorem: a graph on at least two vertices is disconnected, or has a disconnected complement, or has a modular partition into its maximal proper modules whose quotient is prime Theorem
Dependency tree · two levels
19 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- M. Habib and C. Paul, A Survey on Algorithmic Aspects of Modular Decomposition, sec. 2.3 (standard reference, not scraped)